题目
题目
多项选择题

In k-means clustering, what is the primary goal of the algorithm? (you can choose more than one)

选项
A.a. To partition the data into clusters such that intra-cluster similarity is high and inter-cluster similarity is low
B.b. To maximise the distance between all data points
C.c. To identify outliers in the dataset
D.d. To reduce the dimensionality of the dataset
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思路分析
Diving into the question about k-means: what is the primary goal of the algorithm? (you can choose more than one) Option a: 'To partition the data into clusters such that intra-cluster similarity is high and inter-cluster similarity is low.' This is the core objective of k-means. By assigning points to the nearest clus......Login to view full explanation

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Which of the following statements about the K-means clustering algorithm is true?

  K-Means involves computing distances in input space and assigning data points to the nearest prototype points. What can one say about these prototype points?   I Every cluster has its data assigned to the nearest prototype point. II They are not restricted to being data points in the training set. III They are necessarily included in the training set. IV They are usually referred to as centroids.  

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